Marvin Teichmann

15 total papers · 1.0k total citations
2 papers, 511 citations indexed

About

Marvin Teichmann is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Marvin Teichmann has authored 2 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Marvin Teichmann's work include Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). Marvin Teichmann is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). Marvin Teichmann collaborates with scholars based in United Kingdom, United States and Germany. Marvin Teichmann's co-authors include Roberto Cipolla, Michael Weber, Marius Zöllner, Raquel Urtasun, Menglong Zhu, André Araujo and Jack Sim and has published in prestigious journals such as Apollo (University of Cambridge).

In The Last Decade

Marvin Teichmann

2 papers receiving 487 citations

Hit Papers

MultiNet: Real-time Joint... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marvin Teichmann 412 149 106 60 53 2 511
Marius Zöllner 377 0.9× 185 1.2× 116 1.1× 44 0.7× 54 1.0× 12 559
Norbert Buch 440 1.1× 187 1.3× 90 0.8× 29 0.5× 33 0.6× 7 617
Luca Caltagirone 310 0.8× 238 1.6× 56 0.5× 117 1.9× 173 3.3× 8 499
Zhengkai Tu 396 1.0× 279 1.9× 151 1.4× 34 0.6× 49 0.9× 16 533
Namdar Homayounfar 384 0.9× 156 1.0× 67 0.6× 104 1.7× 149 2.8× 8 517
Hyunggi Cho 298 0.7× 179 1.2× 73 0.7× 134 2.2× 37 0.7× 7 486
Yifeng Shi 376 0.9× 171 1.1× 78 0.7× 125 2.1× 72 1.4× 18 555
Weixun Zuo 434 1.1× 59 0.4× 60 0.6× 100 1.7× 54 1.0× 7 573
Aseem Behl 322 0.8× 145 1.0× 123 1.2× 79 1.3× 38 0.7× 8 510
Amal Rannen Triki 326 0.8× 30 0.2× 106 1.0× 85 1.4× 106 2.0× 4 587

Countries citing papers authored by Marvin Teichmann

Since Specialization
Citations

This map shows the geographic impact of Marvin Teichmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marvin Teichmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marvin Teichmann more than expected).

Fields of papers citing papers by Marvin Teichmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marvin Teichmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marvin Teichmann. The network helps show where Marvin Teichmann may publish in the future.

Co-authorship network of co-authors of Marvin Teichmann

This figure shows the co-authorship network connecting the top 25 collaborators of Marvin Teichmann. A scholar is included among the top collaborators of Marvin Teichmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marvin Teichmann. Marvin Teichmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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